A team of researchers at the George R. Brown School of Engineering and Computing at Rice University has developed an innovative artificial intelligence (AI)-enabled, low-cost device that will make ...

A research team from George R Brown School of Engineering and Computing (Rice University; TX, USA), led by Peter Lillehoj and Kevin Mchugh, have developed an innovative AI-enabled microfluidic ...

Over the past decade, flow cytometry has undergone transformative advancements, notably with the adoption of spectral flow cytometry and the emergence of next-generation imaging cytometers. These ...

With flow cytometry, as with many technologies that enjoy continuous use, we can see an evolution of capabilities. Spectral analysis, image capture, and artificial intelligence are just a few of the ...

Flow cytometry is a way to look closely at the features of cells or particles. A sample of blood or tissue goes into a machine called a cytometer. In less than a minute, a computer can analyze ...

Flow cytometry is a high-throughput cell analysis method that combines optical and molecular-based detection to collect multiple data parameters simultaneously. Flow cytometers are usually large ...

After five decades of use, flow cytometry is entrenched in biomedical science. Besides enabling the quick processing of cells in suspension, flow cytometry provides quantitative results across ...

Flow cytometry remains a critical technology for the high-throughput analysis of single cells in complex populations. Attention to good analysis practices is more important than ever due to the recent ...